Dealing with big data

No abstract available

Records Management Practices: A solution in dealing with big data

Big data in the Internet of Things (IoT) led to various issues and problems. Therefore, this study aims to provide a guideline through Records Management practices.This study is qualitative with the records professional who deals with big data and records management from various fields. Organizations involved in emerging big data will be chosen as respondents. The study intended to develop guidelines from the current Records Management standard, best practices and guidelines in managing big data. This will offer new research and view on the ability of Records Management as a solution in managing big data. Keywords: Big Data, Records Management, Internet of Things eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by E-International Publishing House, Ltd., UK. This is an open-access article under the CC  BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under the responsibility of AMER (Association of Malaysian Environment-Behavior Researchers), ABRA (Association of Behavioral Researchers on Asians), and cE-Bs (Centre for Environment-Behavior Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia

Big data clustering using grid computing and ant-based algorithm

Big data has the power to dramatically change the way institutes and organizations use their data. Transforming the massive amounts of data into knowledge will leverage the organizations performance to the maximum.Scientific and business organizations would benefit from utilizing big data. However, there are many challenges in dealing with big data such as storage, transfer, management and manipulation of big data.Many techniques are required to explore the hidden pattern inside the big data which have limitations in terms of hardware and software implementation. This paper presents a framework for big data clustering which utilizes grid technology and ant-based algorithm

Qualitative Marketing Research: The State of Journal Publications

Qualitative methods in marketing have become essential not only for their classical advantage in consumer behavior, but also for their benefits in dealing with big data and data Qualitative methods in marketing have become essential not only for their classical advantage in consumer behavior, but also for their benefits in dealing with big data and data mining. Research from International Data Corporation (IDC) shows that when it comes to online data, unstructured content accounts for 90% of all digital information. Under these circumstances, this study provides a literature review and analysis on the role and relation of qualitative methods with quantitative methods in marketing research. The paper analyzes research articles that include qualitative studies in the top marketing journals during the last decade and focuses on their topic, domain, methods used and whether they used any triangulation with quantitative methods. Starting from this analysis, the study provides recommendations that can help better integrate qualitative methods in marketing research, academics and practice.mining. Research from International Data Corporation (IDC) shows that when it comes to online data, unstructured content accounts for 90% of all digital information. Under these circumstances, this study provides a literature review and analysis on the role and relation of qualitative methods with quantitative methods in marketing research. The paper analyzes research articles that include qualitative studies in the top marketing journals during the last decade and focuses on their topic, domain, methods used and whether they used any triangulation with quantitative methods. Starting from this analysis, the study provides recommendations that can help better integrate qualitative methods in marketing research, academics and practice